How to Use the AcademyOcean MCP in Google ADK

Q: How do I restrict the Google ADK tools exposed from AcademyOcean?

Use the optional toolnames filter when initializing your McpToolset. You can limit the agent to only run listcourses while blocking sensitive write actions.

Q: How do I set up the AcademyOcean MCP Server transport in Google ADK?

You initialize the StreamableHttpServerParameters with your Vinkius endpoint URL. Pass this configuration directly to the McpToolset inside your Python script.

Connect AcademyOcean to the Google ADK to analyze training progress and manage learners using Gemini models.

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Connect AcademyOcean MCP to Google ADK

Create your Vinkius account to connect AcademyOcean to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AcademyOcean with Google ADK

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Enterprise reporting via Google ADK and BigQuery

Your Gemini agent pulls active training rosters using `list_learners` and cross-references them with your HR data warehouse in BigQuery. This lets you find which departments are lagging behind on their required compliance courses. The Google ADK toolset lets your agent pull large datasets directly into Gemini's massive context window. You analyze thousands of learner profiles without hitting token limits or losing context.

Trigger learner invitations from cloud events

When a new employee profile is created in your Google Cloud database, the agent calls `invite_learner` to register them. This MCP Server handles the connection details so your agent can focus on the onboarding flow. You can restrict the agent's access by applying a tool filter to the toolset. This ensures the agent only runs the invitation tool and cannot modify or read other academy data.

Analyze course completion trends across the enterprise

Gemini parses your entire curriculum catalog via `list_courses` and correlates it with completion metrics from `get_learner_progress`. The model identifies which modules take the longest to finish and flags bottleneck areas. By executing these tools inside a unified Google ADK agent, you combine external LMS data with Vertex AI predictive models using our MCP Server to forecast training completion dates.

Setup guide

Set up AcademyOcean MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with AcademyOcean tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="AcademyOcean_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AcademyOcean tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AcademyOcean. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AcademyOcean MCP in Google ADK

Use the optional `tool_names` filter when initializing your `McpToolset`. You can limit the agent to only run `list_courses` while blocking sensitive write actions.

Yes, Gemini's long-context window easily handles large payloads from `get_learner_progress`. The Google ADK feeds the raw JSON output directly into the model's active memory.

You initialize the `StreamableHttpServerParameters` with your Vinkius endpoint URL. Pass this configuration directly to the `McpToolset` inside your Python script.

Absolutely. You register both the AcademyOcean toolset and your BigQuery database tools in the same `LlmAgent` instance so Gemini can query both sources.

Vinkius executes the connector in an isolated sandbox that never writes your data to disk. The emails of invited learners and course names pass strictly between the AcademyOcean API and your Google Cloud environment.

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